An integral manifold approach to the feedback control of flexible joint robots

The control problem for robot manipulators with flexible joints is considered. The results are based on a recently developed singular perturbation formulation of the manipulator equations of motion where the singular perturbation parameter µ is the inverse of the joint stiffness. For this class of systems it is known that the reduced-order model corresponding to the mechanical system under the assumption of perfect rigidity is globally linearizable via nonlinear static-state feedback, but that the full-order flexible system is not, in general, linearizable in this manner. The concept of integral manifold is utilized to represent the dynamics of the slow subsystem. The slow subsystem reduces to the rigid model as the perturbation parameter µ tends to zero. It is shown that linearizability of the rigid model implies linearizability of the flexible system restricted to the integral manifold. Based on a power series expansion of the integral manifold around µ = 0, it is shown how to approximate the feedback linearizing control to any order in µ. The result is then an approximate feedback linearization which, assuming stability of the fast variables, linearizes the system for all practical purposes.

[1]  Malcolm Good,et al.  Re-definition of the robot motion control problem: Effects of plant dynamics, drive system constraints, and user requirements , 1984, The 23rd IEEE Conference on Decision and Control.

[2]  P. Kokotovic,et al.  A Slow Manifold Approach to Feedback Control of Nonlinear Flexible Systems , 1985, 1985 American Control Conference.

[3]  Patrizio Tomei,et al.  Model reference adaptive control algorithms for industrial robots , 1984, Autom..

[4]  Hassan K. Khalil,et al.  Singular perturbation methods in control : analysis and design , 1986 .

[5]  A. Isidori,et al.  Nonlinear feedback in robot arm control , 1984, The 23rd IEEE Conference on Decision and Control.

[6]  F. Hoppensteadt Properties of solutions of ordinary differential equations with small parameters , 1971 .

[7]  Steven Dubowsky,et al.  The application of model-referenced adaptive control to robotic manipulators , 1979 .

[8]  R. Marino,et al.  On the controllability properties of elastic robots , 1984 .

[9]  Ralph Abraham,et al.  Foundations Of Mechanics , 2019 .

[10]  V. Sobolev Integral manifolds and decomposition of singularly perturbed systems , 1984 .

[11]  James Thorp,et al.  The control of robot manipulators with bounded input: Part II: Robustness and disturbance rejection , 1984, The 23rd IEEE Conference on Decision and Control.

[12]  Mark W. Spong,et al.  Invariant manifolds and their application to robot manipulators with flexible joints , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[13]  J. Y. S. Luh,et al.  Resolved-acceleration control of mechanical manipulators , 1980 .

[14]  Lorenzo Sciavicco,et al.  An Adaptive Model Following Control for Robotic Manipulators , 1983 .

[15]  Neil Fenichel Geometric singular perturbation theory for ordinary differential equations , 1979 .

[16]  Joe H. Chow,et al.  Two-time-scale feedback design of a class of nonlinear systems , 1978 .

[17]  Louis R. Hunt,et al.  Design for Multi-Input Nonlinear Systems , 1982 .

[18]  C. Samson Robust non linear control of robotic manipulators , 1983, The 22nd IEEE Conference on Decision and Control.

[19]  R. Su On the linear equivalents of nonlinear systems , 1982 .

[20]  L. Hunt,et al.  Global transformations of nonlinear systems , 1983 .

[21]  J. J. Slotine,et al.  Tracking control of non-linear systems using sliding surfaces with application to robot manipulators , 1983, 1983 American Control Conference.

[22]  E. Freund Fast Nonlinear Control with Arbitrary Pole-Placement for Industrial Robots and Manipulators , 1982 .

[23]  Jean-Jacques E. Slotine,et al.  The Robust Control of Robot Manipulators , 1985 .

[24]  A. Bejczy Robot arm dynamics and control , 1974 .